This application is designed to analyze data sourced from the European Value Study (EVS). The original data can be found here. Users can explore attitudes towards gender roles and immigration. Key variables analyzed include v72 and v80, which respectively measure perceptions on maternal employment effects and job priority during scarcity. Analysis of the overall data with the entire sample, as well as on a country-by-country basis, is available by using the country drop-down menu located in the sidebar.
The application is structured around four main tabs: Overview, Exploration, and Regression. These tabs are easily accessible through the sidebar menu. Users can choose the outcome variable in the sidebar menu under the ‘Outcome variable’ section.
The ‘Exploration’ section provides a graph describing the selected outcome variable with three predictors age, education, and sex.
The ‘Regression’ section provides a table showing the regression coefficients and a scatter plot illustrating the predicted versus the residuals from the regression model. By default, age is the main predictor. Users can choose additional predictors (sex and education), and also adjust the polynomial value of age from 1 to 5 in the sidebar menu.
Below is the table showing the regression coefficients for child_suffer.
Below is the scatter plot showing the predicted versus the residuals from the regression model for child_suffer.